Course Catalogue
Three Courses, One Continuous Path Through AI Development
From first lines of Python to deploying AI systems you can maintain. Every course builds on the previous one.
Back to HomeOur Approach
How the Curriculum Is Structured
Each Mindforge course begins where the previous one ended. The Basics course introduces the programming and data concepts that the Applied Models course takes further. The Applied Models course covers the data preparation, modelling, and evaluation work that the Engineering Track puts into production context.
Within each course, topics are introduced with explanation, demonstrated in notebooks, and then practised in tasks that require real decisions, not just filling in blanks. Assignments are reviewed so that learners understand what they got right and where the gaps are.
Cumulative structure
Practical tasks
Reviewed assignments
Weekly Q&A sessions
AI Development Basics
A beginner course covering programming and data fundamentals for machine learning, taught through small practical tasks. For learners new to the field. Self-paced over six weeks with weekly question sessions. Includes notes and practice notebooks.
- No programming background required
- Practice notebooks with every lesson
- Weekly live question sessions
- 12-month access from enrolment
What You Work Through
Python fundamentals — writing and reading code for data tasks
Working with structured data — loading, inspecting, and transforming datasets
Introduction to machine learning concepts — what models are and how they learn
Running and interpreting your first ML models on real data
Course fee
฿3,800
Applied Models Course
An intermediate course on preparing data and building and evaluating models on realistic problems, with honest discussion of results. For learners with basic coding experience. Runs over ten weeks with reviewed assignments. Includes datasets and walkthroughs.
- Realistic messy datasets provided
- Every assignment reviewed by an instructor
- Walkthrough videos for complex techniques
- Honest discussion of what models can and cannot do
What You Work Through
Data preparation — cleaning, encoding, and splitting real-world datasets
Model selection and training — comparing approaches on the same problem
Evaluation — what metrics mean and how to interpret them honestly
Iteration — improving a model based on evaluation results
Course fee
฿15,200
End-to-End AI Engineering Track
A thorough track on building and deploying dependable AI systems, structured around a portfolio project and sound engineering practice. For committed learners aiming at independent work. Runs over fourteen weeks with mentor sessions and code reviews. Includes a project framework and progress record.
- One-on-one mentor sessions included
- Code review on every submission
- Portfolio project framework provided
- Progress record for your own reference
What You Work Through
System design — planning an AI project from problem to architecture
Building pipelines — from raw data to trained, versioned model
Deployment and serving — putting a model where it can be used
Monitoring and maintenance — keeping a deployed system working over time
Course fee
฿33,400
Choosing the Right Course
What Each Course Includes
Use this to decide which level to start from.
| Feature | Basics ฿3,800 |
Applied Models ฿15,200 |
Engineering Track ฿33,400 |
|---|---|---|---|
| Practice notebooks | |||
| Weekly Q&A sessions | |||
| Reviewed assignments | |||
| Real datasets included | |||
| Mentor sessions (1:1) | |||
| Code review feedback | |||
| Portfolio project framework | |||
| Best for… | Complete beginners to programming and ML | Learners with basic coding who want to build models | Committed learners aiming at independent AI work |
Standards Across All Courses
What Every Course Upholds
Privacy & Data Security
Learner data is handled in line with Thailand PDPA. Datasets used in courses contain no real personal data.
Tested & Maintained Code
All practice notebooks are tested before course updates. Code that does not run is fixed before learners see it.
Honest Course Framing
Prerequisites are stated clearly. We do not overstate what completing a course will deliver for any individual.
Responsive Support
Questions receive a reply within one business day. Support is handled by course instructors, not a separate team.
Regular Curriculum Updates
Course content is reviewed twice a year and updated when the field has moved or feedback reveals a gap.
Single-Payment Enrolment
No subscription or recurring charge. One fee gives twelve months of access to that course's full material.
Transparent Pricing
Course Fees in Thai Baht
One-time payment. No subscription. No hidden charges.
Level 01
AI Development Basics
฿3,800
One-time · 6-week course · 12-month access
- Full course material & notes
- Practice notebooks
- Weekly Q&A access
Level 02
Applied Models Course
฿15,200
One-time · 10-week course · 12-month access
- Full course material & walkthroughs
- Reviewed assignments
- Real datasets included
- Weekly Q&A access
Level 03
End-to-End AI Engineering
฿33,400
One-time · 14-week track · 12-month access
- Full track material & project framework
- Mentor sessions (1:1)
- Code review on all submissions
- Progress record included
Ready to Begin?
Ask Us Which Course Fits Your Starting Point
Not sure where to begin? Send us a message or call us in Khon Kaen. We will give you a straight answer based on your background.